review last lecture - making websites

plot.ly and dashboards for interactivity

library(tidyverse)
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library(p8105.datasets)

library(plotly)
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import data

data(nyc_airbnb)

nyc_airbnb = 
  nyc_airbnb |> 
  mutate(stars = review_scores_location / 2) |>
  select(
    borough = neighbourhood_group, 
    neighbourhood, stars, price, room_type, lat, long) |>
  drop_na(stars) |>
  filter(
    borough == "Manhattan",
    room_type == "Entire home/apt",
    price %in% 100:500)

use plot_ly(). can pipe, but instead of aes just put ~, geometry involves a type of plot and mode

nyc_airbnb |>
  mutate(text_label = str_c("Price: $", price, "\nRating: ", stars)) |>
  plot_ly(x= ~lat, y=~long, color= ~price, text= ~text_label,
          type = "scatter", mode = "markers", alpha=0.5)

can zoom in and pan and hover. or select only some of the graph, like in this boxplot

nyc_airbnb |>
  mutate(neighbourhood = fct_reorder(neighbourhood, price)) |>
  plot_ly(y=~price, color = ~neighbourhood, type="box")
## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors

## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors

bar plot

nyc_airbnb |>
  count(neighbourhood) |>
  mutate(neighbourhood = fct_reorder(neighbourhood, n)) |> 
  plot_ly(x=~neighbourhood, y=~n, type = "bar", color= ~neighbourhood, colors="viridis")